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Australia/Brisbane clock

search-query-len

Count characters in a search query. Query discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses that the query is discarded, which is a useful privacy-related behavior. However, there are no annotations to rely on, and the description does not mention the output format, whether it ignores other parameters, or any other side effects. This leaves significant behavioral uncertainty.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at two sentences, front-loading the core action and adding a meaningful privacy note. Every word earns its place, and there is no redundancy. However, it is so brief that it sacrifices necessary operational detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a large, seemingly unrelated input schema and no output schema, the description is far from complete. It fails to explain how to invoke the tool correctly, which parameter to use, what the return value looks like, or how the schema properties relate to the purpose. The privacy note is insufficient to compensate for these gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema lists seven string properties (ref, url, city, feed, host, json, path) with individual descriptions, but none of them clearly represents a 'search query.' The tool description never maps its stated purpose to any parameter, so an agent cannot determine which input to provide. The schema descriptions are detailed but irrelevant to the tool's actual function, making parameter semantics critically deficient.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: count characters in a search query. It uses a specific verb and resource, and the tool name reinforces this purpose. However, it does not differentiate from sibling tools or clarify what constitutes a search query in the context of the provided schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, no mention of context or constraints, and no exclusion criteria. The description simply states what the tool does without any usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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